Regional variation of energy-related industrial CO2 emissions mitigation in China

被引:57
作者
Ren, Shenggang [1 ]
Fu, Xiang [1 ]
Chen, XiaoHong [1 ]
机构
[1] Cent S Univ, Sch Business, Resource Saving & Environm Friendly Soc Res Ctr, Changsha 410083, Peoples R China
关键词
CO2; emissions; Mitigation; Industrial development; Factor decomposition; MEAN DIVISIA INDEX; DECOMPOSITION ANALYSIS; STRUCTURAL-CHANGE; AGGREGATE ENERGY; INTENSITY; COUNTRIES; SECTOR;
D O I
10.1016/j.chieco.2012.08.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper analyzes the reasons for regional variations in industrial CO2 emissions mitigation. First, regional industrial CO2 emissions during the "11th Five-Year Plan" period are calculated based on the presented method. Then a two-level perfect decomposition method. LMDI, is used to find the nature of the factors that influence the changes in energy-related industrial CO2 emissions in nine economic regions in China. The changes of industrial CO2 emissions are decomposed into energy emission factor effect, energy structure effect, energy intensity effect, industrial structure effect and economic output effect. As the results suggest, rapid growth of industry is the most important factor responsible for the increase in CO2 emissions. The adjustment of both industrial structure and energy structure contributes to the increase of CO2 emissions slightly. Energy consumption per unit GDP is the most important measure of CO2 emissions and the energy emission factor by itself also makes a weeny contribution to CO2 reduction as a result of electricity generation efficiency enhancement. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1134 / 1145
页数:12
相关论文
共 29 条
[1]   Negative-value problems of the logarithmic mean Divisia index decomposition approach [J].
Ang, B. W. ;
Liu, Na .
ENERGY POLICY, 2007, 35 (01) :739-742
[2]   Handling zero values in the logarithmic mean Divisia index decomposition approach [J].
Ang, B. W. ;
Liu, Na .
ENERGY POLICY, 2007, 35 (01) :238-246
[3]   The LMDI approach to decomposition analysis: a practical guide [J].
Ang, BW .
ENERGY POLICY, 2005, 33 (07) :867-871
[4]  
Ang BW, 1997, ENERGY J, V18, P59
[5]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[6]   Factorizing changes in energy and environmental indicators through decomposition [J].
Ang, BW ;
Zhang, FQ ;
Choi, KH .
ENERGY, 1998, 23 (06) :489-495
[7]  
[Anonymous], 2008, ENERGY TECHNOLOGY PE, DOI DOI 10.1787/9789264041431-EN
[8]   DECOMPOSITION OF CHANGES IN ENERGY INTENSITY - A COMPARISON OF THE DIVISIA INDEX AND OTHER METHODS [J].
BOYD, GA ;
HANSON, DA ;
STERNER, T .
ENERGY ECONOMICS, 1988, 10 (04) :309-312
[9]   Comparison of six decomposition methods: Application to aggregate energy intensity for manufacturing in 10 OECD countries [J].
Greening, LA ;
Davis, WB ;
Schipper, L ;
Khrushch, M .
ENERGY ECONOMICS, 1997, 19 (03) :375-390
[10]  
[郭朝先 Guo Chaoxian], 2010, [中国人口·资源与环境, China Population·Resources and Environment], V20, P4